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- W4386213701 abstract "Emotion detection is a growing field of research in computer vision, in particular ARCore technology has opened new possibilities for real-time emotion detection using mobile devices. ARCore is a platform for building augmented reality experience on Android devices, which can detect the physical environment and provide accurate tracking and measurement of objects in real-time. In this paper, authors presented a novel approach to emotion detection using ARCore technology. The proposed system uses the camera and motion sensors of a mobile device to capture the user's facial expressions and movements and analyzes the data to detect emotions in real-time. Convolutional neural networks (CNNs) and long short-term memory (LSTM) networks were used in the design and implementation of a deep learning model to identify the user's emotions based on their facial expressions and body language. The proposed system has been evaluated on a dataset of facial expressions and achieved a high accuracy rate of 86.32%. The obtained results demonstrate the feasibility of using ARCore technology for emotion detection, which has potential applications in fields such as mental health, gaming, and human-computer interaction." @default.
- W4386213701 created "2023-08-29" @default.
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- W4386213701 date "2023-08-03" @default.
- W4386213701 modified "2023-09-30" @default.
- W4386213701 title "Emotion Detection from Facial Expressions Using Augmented Reality" @default.
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- W4386213701 doi "https://doi.org/10.1109/icirca57980.2023.10220824" @default.
- W4386213701 hasPublicationYear "2023" @default.
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